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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yun Cui Zhifeng Zhao Honggang Zhang |
| Copyright Year | 2010 |
| Description | Author affiliation: York-Zhejiang Lab on Cognitive Radio and Green Communications, Zhejiang University, Hangzhou 310027, China (Yun Cui; Zhifeng Zhao; Honggang Zhang) |
| Abstract | IEEE 802.22 is the first worldwide Wireless Regional Area Networks (WRAN) standard based on cognitive radios (CR). In IEEE 802.22 WRAN, if a wireless microphone appears in any TV channel, the whole channel should be cleaned. 802.22 WRAN devices probably need to fractionally use the first adjacent channel for improving spectrum efficiency while ensuring no harmful interference is caused to the wireless microphone nearby. To determine the appropriate portion of the TV channel that WRAN can utilize, we firstly need to know the frequency location of wireless microphone. In this paper, we propose a two step DFT filter bank (TS-DFTFB) enhanced with an adaptive threshold method to detect the wireless microphone (WM). Comparing with conventional single step DFTFB, the TS-DFTFB method has low complexity while the detection precision is equal to single step DFTFB under the same condition. And with an adaptive method, the threshold can be kept very close to the noise power, which can increase the detection probability especially in the condition of low SNR. |
| Starting Page | 2727 |
| Ending Page | 2732 |
| File Size | 742747 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424480173 |
| e-ISBN | 9781424480166 |
| DOI | 10.1109/PIMRC.2010.5671805 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-09-26 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Filter bank Noise TV Complexity theory Wireless communication Prototypes Bandwidth adaptive threshold IEEE 802.22 WRAN spectrum sensing filter banks |
| Content Type | Text |
| Resource Type | Article |
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